Near-Field Communications With Extremely Large-Scale Uniform Arc Arrays: Channel Modeling and Performance Analysis

In this letter, we propose a new conformal array architecture, called extremely large-scale uniform arc array (XL-UAA), to improve near-field communication performance. Specifically, under the non-uniform spherical wavefront channel model, we establish mathematical modeling and performance analysis for XL-UAAs. It is shown that XL-UAAs have larger direction-dependent Rayleigh distance and uniform power distance than the conventional XL uniform linear arrays (XL-ULAs). Moreover, a closed-form expression for the signal-to-noise ratio (SNR) is obtained, which depends on collective properties of XL-UAAs, such as the distance between the user and the array center, as well as the arc radius. In addition, we show that the asymptotic SNR of XL-UAAs with the number of antennas depends on the projection distance of the user to the middle of the arc array. Finally, numerical results verify that XL-UAAs achieve a higher SNR than XL-ULAs, especially at larger user incident angles.

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Publication Details

Journal
IEEE Wireless Communications Letters
Published
2025-01-16
DOI
https://doi.org/10.1109/lwc.2025.3530079
Citations
1
Primary Topic
Energy Harvesting in Wireless Networks
Type
article
Field-Weighted Citation Impact
0.73
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article

Near-Field Communications With Extremely Large-Scale Uniform Arc Arrays: Channel Modeling and Performance Analysis

Changsheng You, Guanyu Shang, G.B. Li, Shaochuan Wu
1 citations
IEEE Wireless Communications Letters
Energy Harvesting in Wireless Networks
0.73
article

Near-Field Communications With Extremely Large-Scale Uniform Arc Arrays: Channel Modeling and Performance Analysis

Changsheng You, Guanyu Shang, G.B. Li, Shaochuan Wu
article en
1 citations

Abstract

In this letter, we propose a new conformal array architecture, called extremely large-scale uniform arc array (XL-UAA), to improve near-field communication performance. Specifically, under the non-uniform spherical wavefront channel model, we establish mathematical modeling and performance analysis for XL-UAAs. It is shown that XL-UAAs have larger direction-dependent Rayleigh distance and uniform power distance than the conventional XL uniform linear arrays (XL-ULAs). Moreover, a closed-form expression for the signal-to-noise ratio (SNR) is obtained, which depends on collective properties of XL-UAAs, such as the distance between the user and the array center, as well as the arc radius. In addition, we show that the asymptotic SNR of XL-UAAs with the number of antennas depends on the projection distance of the user to the middle of the arc array. Finally, numerical results verify that XL-UAAs achieve a higher SNR than XL-ULAs, especially at larger user incident angles.

IEEE Wireless Communications LettersVol. 14(4)
Harbin Institute of Technology (CN), Southern University of Science and Technology (CN)
Openalex Percentile: Top 32%
Energy Harvesting in Wireless Networks
0.73
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